Package: gpciImpSam Type: Package Title: Importance Sampling Estimation of Generalized Process Capability Indices Version: 0.1.0 Authors@R: c( person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")) ) Description: Provides a comprehensive generalized framework for parameter estimation and Generalized Process Capability Indices (GPCIs) under uncensored data using Importance Sampling (ImpSam). Supports user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Computes classical and generalized capability indices including Cpy (Maiti et al., 2010 ), Spmk (Dey & Saha, 2019 ), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 ), CNpmc (Alotaibi et al., 2022 ), CNpmkc (Saha et al., 2024 ), CNpk (Saha et al., 2018 ), and Vannman's Cp(u,v) family. Generates parameter and GPCI MCMC chains via Sampling Importance Resampling (SIR) after burn-in and thinning. Provides point estimates, bias, MSE, risk values, Highest Posterior Density (HPD) intervals at 90, 95, and 99 percent levels of significance, Heidelberger and Welch MCMC convergence diagnostic, and convergence probability. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.3 Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, numDeriv, boot Suggests: testthat (>= 3.0.0), knitr, rmarkdown VignetteBuilder: knitr Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-10-07 11:21:48 UTC; root Author: Shikhar Tyagi [aut, cre] (ORCID: ) Maintainer: Shikhar Tyagi Repository: https://shikhartyagi.r-universe.dev Date/Publication: 2026-08-07 16:30:07 UTC RemoteUrl: https://github.com/cran/gpciImpSam RemoteRef: HEAD RemoteSha: 62f56f98392cf513bdbfc1bf81fe5d22276323fb